Data visualization has become very important due to the increase in processing power and organizations being able to unlock their data from jail. It has become the best way to report results and findings to your audience in the most simple and gripping way. However, there is a shortage of visualization experts who can use various tools to explain to stakeholders not just historical data, but also the machine learning results.
In this course, we’ll be using tools such as Tableau, which is the best visualization tool as ranked by the Gartner Report 2017, as well as open source tools such as R and Python to understand data and share findings between fellow data scientists.
This course takes you gradually from basic, fundamental topics to advanced topics with a ton of examples. It also focuses on making you independent of these tools, so you can carry forward your visualization knowledge to any other tool you may need to use. We cover three tools in visualization, namely R, Python, and Tableau and setting up your basic framework for any project you take up. By the end of this course, you’ll have the fundamentals in place, so you can make visualizations on your own with the correct use of various visualization elements.
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